A simulated annealing technique for multi-objective simulation optimization

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contributor.author Alrefaei, Mahmoud H. en_US
contributor.author Diabat, Ali H. en_US
date.accessioned 2009-12-31T05:32:08Z en_US
date.available 2009-12-31T05:32:08Z en_US
date.issued 2009-12-15 en_US
identifier.citation Alrefaei, M. H., & Diabat, A. H. (2009). A simulated annealing technique for multi-objective simulation optimization. Applied Mathematics and Computation, 215(8), 3029–3035 en_US
identifier.uri http://dx.doi.org/10.1016/j.amc.2009.09.051 en_US
identifier.uri http://hdl.handle.net/10576/10586 en_US
description.abstract In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. It is applied to a multi-objective inventory problem; the numerical results show that the algorithm converges rapidly. en_US
language.iso en en_US
publisher Elsevier en_US
subject Simulated annealing en_US
subject Simulation optimization en_US
subject Multi-objective simulation optimization en_US
title A simulated annealing technique for multi-objective simulation optimization en_US
type Article en_US


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